3 papers
quant-ph2024
A Max-Flow approach to Random Tensor Networks
Khurshed Fitter, Faedi Loulidi, Ion Nechita
We study the entanglement entropy of a random tensor network (RTN) using tools from free probability theory. Random tensor networks are simple toy models that help the understandin…
cs.CL2024
Enhancing Context Through Contrast
Kshitij Ambilduke, Aneesh Shetye, Diksha Bagade +4
Neural machine translation benefits from semantically rich representations. Considerable progress in learning such representations has been achieved by language modelling and mutua…
quant-ph2022
Estimating the entanglement of random multipartite quantum states
Khurshed P. Fitter, Cecilia Lancien, Ion Nechita
Genuine multipartite entanglement of a given multipartite pure quantum state can be quantified through its geometric measure of entanglement, which, up to logarithms, is simply the…